Schema-aware SQL generation

The AI SQL Generator That Uses Your Schema

Paste your schema, describe what you need, and get a query that uses your actual table and column names. No rewriting required.

Your Schema
CREATE TABLE users (
  id SERIAL PRIMARY KEY,
  email VARCHAR(255) UNIQUE,
  created_at TIMESTAMP DEFAULT NOW()
);

CREATE TABLE orders (
  id SERIAL PRIMARY KEY,
  user_id INT REFERENCES users(id),
  total DECIMAL(10,2),
  status VARCHAR(20),
  ordered_at TIMESTAMP DEFAULT NOW()
);
Your Query

Show me the top 10 customers by total spending in the last 30 days, along with their email and number of orders.

Generated SQL ✓
SELECT u.email,
       COUNT(o.id) AS order_count,
       SUM(o.total) AS total_spent
FROM users u
JOIN orders o ON o.user_id = u.id
WHERE o.ordered_at >= NOW() - INTERVAL '30 days'
GROUP BY u.id, u.email
ORDER BY total_spent DESC
LIMIT 10;

Writing SQL shouldn't feel like this.

ChatGPT doesn't know your tables

Generic SQL is useless when your schema has custom naming or denormalized tables. You end up rewriting everything anyway.

Complex queries take too long

Window functions, CTEs, and joins are slow to write from memory every time. You shouldn't need to look up syntax for the hundredth query.

Dialect differences cost you time

Snowflake isn't Postgres. MySQL isn't BigQuery. Switching projects means relearning syntax you already know — just for a different engine.

How it works.

Three steps. No configuration.

01

Paste your schema

Drop in your CREATE TABLE statements. SQLQueryBot maps your actual column names, types, and relationships.

02

Describe what you want

Describe the result you want. 'Show me all users who signed up in the last 7 days and haven't placed an order' is enough.

03

Get production-ready SQL

Get dialect-specific SQL that uses your exact column names, with a plain-English explanation of the logic.

Everything you need to stop writing SQL from scratch.

Schema-aware generation

References your actual table and column names, not generic placeholders.

Multi-dialect support

Works with your database, not just the popular one. PostgreSQL, MySQL, BigQuery, Snowflake, Oracle, SQL Server.

Instant explanations

Every query includes a plain-English breakdown of what it does.

Query history

Every query is saved, searchable, and refinable.

One plan. Everything included.

MonthlyAnnual

Starter

~2 months free
$50/yr
  • 400 queries/month
  • Schema library (5 saved schemas)
  • All dialects
  • Query history

Pro

~2 months free
$150/yr
  • 2000 queries/month
  • Schema library (unlimited saved schemas)
  • All dialects
  • Query history

Questions.

Join the waitlist. We'll tell you the moment you're in.

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